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Browse files- .gitattributes +12 -0
- README.md +182 -0
- stablelm-3b-4e1t-Q2_K.gguf +3 -0
- stablelm-3b-4e1t-Q3_K_L.gguf +3 -0
- stablelm-3b-4e1t-Q3_K_M.gguf +3 -0
- stablelm-3b-4e1t-Q3_K_S.gguf +3 -0
- stablelm-3b-4e1t-Q4_0.gguf +3 -0
- stablelm-3b-4e1t-Q4_K_M.gguf +3 -0
- stablelm-3b-4e1t-Q4_K_S.gguf +3 -0
- stablelm-3b-4e1t-Q5_0.gguf +3 -0
- stablelm-3b-4e1t-Q5_K_M.gguf +3 -0
- stablelm-3b-4e1t-Q5_K_S.gguf +3 -0
- stablelm-3b-4e1t-Q6_K.gguf +3 -0
- stablelm-3b-4e1t-Q8_0.gguf +3 -0
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| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: cc-by-sa-4.0
|
| 5 |
+
tags:
|
| 6 |
+
- causal-lm
|
| 7 |
+
- TensorBlock
|
| 8 |
+
- GGUF
|
| 9 |
+
datasets:
|
| 10 |
+
- tiiuae/falcon-refinedweb
|
| 11 |
+
- togethercomputer/RedPajama-Data-1T
|
| 12 |
+
- CarperAI/pilev2-dev
|
| 13 |
+
- bigcode/starcoderdata
|
| 14 |
+
- allenai/peS2o
|
| 15 |
+
base_model: stabilityai/stablelm-3b-4e1t
|
| 16 |
+
model-index:
|
| 17 |
+
- name: stablelm-3b-4e1t
|
| 18 |
+
results:
|
| 19 |
+
- task:
|
| 20 |
+
type: text-generation
|
| 21 |
+
name: Text Generation
|
| 22 |
+
dataset:
|
| 23 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
| 24 |
+
type: ai2_arc
|
| 25 |
+
config: ARC-Challenge
|
| 26 |
+
split: test
|
| 27 |
+
args:
|
| 28 |
+
num_few_shot: 25
|
| 29 |
+
metrics:
|
| 30 |
+
- type: acc_norm
|
| 31 |
+
value: 46.59
|
| 32 |
+
name: normalized accuracy
|
| 33 |
+
source:
|
| 34 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/stablelm-3b-4e1t
|
| 35 |
+
name: Open LLM Leaderboard
|
| 36 |
+
- task:
|
| 37 |
+
type: text-generation
|
| 38 |
+
name: Text Generation
|
| 39 |
+
dataset:
|
| 40 |
+
name: HellaSwag (10-Shot)
|
| 41 |
+
type: hellaswag
|
| 42 |
+
split: validation
|
| 43 |
+
args:
|
| 44 |
+
num_few_shot: 10
|
| 45 |
+
metrics:
|
| 46 |
+
- type: acc_norm
|
| 47 |
+
value: 75.94
|
| 48 |
+
name: normalized accuracy
|
| 49 |
+
source:
|
| 50 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/stablelm-3b-4e1t
|
| 51 |
+
name: Open LLM Leaderboard
|
| 52 |
+
- task:
|
| 53 |
+
type: text-generation
|
| 54 |
+
name: Text Generation
|
| 55 |
+
dataset:
|
| 56 |
+
name: MMLU (5-Shot)
|
| 57 |
+
type: cais/mmlu
|
| 58 |
+
config: all
|
| 59 |
+
split: test
|
| 60 |
+
args:
|
| 61 |
+
num_few_shot: 5
|
| 62 |
+
metrics:
|
| 63 |
+
- type: acc
|
| 64 |
+
value: 45.23
|
| 65 |
+
name: accuracy
|
| 66 |
+
source:
|
| 67 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/stablelm-3b-4e1t
|
| 68 |
+
name: Open LLM Leaderboard
|
| 69 |
+
- task:
|
| 70 |
+
type: text-generation
|
| 71 |
+
name: Text Generation
|
| 72 |
+
dataset:
|
| 73 |
+
name: TruthfulQA (0-shot)
|
| 74 |
+
type: truthful_qa
|
| 75 |
+
config: multiple_choice
|
| 76 |
+
split: validation
|
| 77 |
+
args:
|
| 78 |
+
num_few_shot: 0
|
| 79 |
+
metrics:
|
| 80 |
+
- type: mc2
|
| 81 |
+
value: 37.2
|
| 82 |
+
source:
|
| 83 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/stablelm-3b-4e1t
|
| 84 |
+
name: Open LLM Leaderboard
|
| 85 |
+
- task:
|
| 86 |
+
type: text-generation
|
| 87 |
+
name: Text Generation
|
| 88 |
+
dataset:
|
| 89 |
+
name: Winogrande (5-shot)
|
| 90 |
+
type: winogrande
|
| 91 |
+
config: winogrande_xl
|
| 92 |
+
split: validation
|
| 93 |
+
args:
|
| 94 |
+
num_few_shot: 5
|
| 95 |
+
metrics:
|
| 96 |
+
- type: acc
|
| 97 |
+
value: 71.19
|
| 98 |
+
name: accuracy
|
| 99 |
+
source:
|
| 100 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/stablelm-3b-4e1t
|
| 101 |
+
name: Open LLM Leaderboard
|
| 102 |
+
- task:
|
| 103 |
+
type: text-generation
|
| 104 |
+
name: Text Generation
|
| 105 |
+
dataset:
|
| 106 |
+
name: GSM8k (5-shot)
|
| 107 |
+
type: gsm8k
|
| 108 |
+
config: main
|
| 109 |
+
split: test
|
| 110 |
+
args:
|
| 111 |
+
num_few_shot: 5
|
| 112 |
+
metrics:
|
| 113 |
+
- type: acc
|
| 114 |
+
value: 3.34
|
| 115 |
+
name: accuracy
|
| 116 |
+
source:
|
| 117 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/stablelm-3b-4e1t
|
| 118 |
+
name: Open LLM Leaderboard
|
| 119 |
+
---
|
| 120 |
+
|
| 121 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
| 122 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
| 123 |
+
</div>
|
| 124 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
| 125 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
| 126 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
| 127 |
+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
| 128 |
+
</p>
|
| 129 |
+
</div>
|
| 130 |
+
</div>
|
| 131 |
+
|
| 132 |
+
## stabilityai/stablelm-3b-4e1t - GGUF
|
| 133 |
+
|
| 134 |
+
This repo contains GGUF format model files for [stabilityai/stablelm-3b-4e1t](https://huggingface.co/stabilityai/stablelm-3b-4e1t).
|
| 135 |
+
|
| 136 |
+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
| 137 |
+
|
| 138 |
+
## Prompt template
|
| 139 |
+
|
| 140 |
+
```
|
| 141 |
+
|
| 142 |
+
```
|
| 143 |
+
|
| 144 |
+
## Model file specification
|
| 145 |
+
|
| 146 |
+
| Filename | Quant type | File Size | Description |
|
| 147 |
+
| -------- | ---------- | --------- | ----------- |
|
| 148 |
+
| [stablelm-3b-4e1t-Q2_K.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q2_K.gguf) | Q2_K | 1.009 GB | smallest, significant quality loss - not recommended for most purposes |
|
| 149 |
+
| [stablelm-3b-4e1t-Q3_K_S.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q3_K_S.gguf) | Q3_K_S | 1.168 GB | very small, high quality loss |
|
| 150 |
+
| [stablelm-3b-4e1t-Q3_K_M.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q3_K_M.gguf) | Q3_K_M | 1.296 GB | very small, high quality loss |
|
| 151 |
+
| [stablelm-3b-4e1t-Q3_K_L.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q3_K_L.gguf) | Q3_K_L | 1.405 GB | small, substantial quality loss |
|
| 152 |
+
| [stablelm-3b-4e1t-Q4_0.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q4_0.gguf) | Q4_0 | 1.498 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
| 153 |
+
| [stablelm-3b-4e1t-Q4_K_S.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q4_K_S.gguf) | Q4_K_S | 1.509 GB | small, greater quality loss |
|
| 154 |
+
| [stablelm-3b-4e1t-Q4_K_M.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q4_K_M.gguf) | Q4_K_M | 1.591 GB | medium, balanced quality - recommended |
|
| 155 |
+
| [stablelm-3b-4e1t-Q5_0.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q5_0.gguf) | Q5_0 | 1.809 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
| 156 |
+
| [stablelm-3b-4e1t-Q5_K_S.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q5_K_S.gguf) | Q5_K_S | 1.809 GB | large, low quality loss - recommended |
|
| 157 |
+
| [stablelm-3b-4e1t-Q5_K_M.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q5_K_M.gguf) | Q5_K_M | 1.856 GB | large, very low quality loss - recommended |
|
| 158 |
+
| [stablelm-3b-4e1t-Q6_K.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q6_K.gguf) | Q6_K | 2.138 GB | very large, extremely low quality loss |
|
| 159 |
+
| [stablelm-3b-4e1t-Q8_0.gguf](https://huggingface.co/tensorblock/stablelm-3b-4e1t-GGUF/tree/main/stablelm-3b-4e1t-Q8_0.gguf) | Q8_0 | 2.769 GB | very large, extremely low quality loss - not recommended |
|
| 160 |
+
|
| 161 |
+
|
| 162 |
+
## Downloading instruction
|
| 163 |
+
|
| 164 |
+
### Command line
|
| 165 |
+
|
| 166 |
+
Firstly, install Huggingface Client
|
| 167 |
+
|
| 168 |
+
```shell
|
| 169 |
+
pip install -U "huggingface_hub[cli]"
|
| 170 |
+
```
|
| 171 |
+
|
| 172 |
+
Then, downoad the individual model file the a local directory
|
| 173 |
+
|
| 174 |
+
```shell
|
| 175 |
+
huggingface-cli download tensorblock/stablelm-3b-4e1t-GGUF --include "stablelm-3b-4e1t-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
| 176 |
+
```
|
| 177 |
+
|
| 178 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
| 179 |
+
|
| 180 |
+
```shell
|
| 181 |
+
huggingface-cli download tensorblock/stablelm-3b-4e1t-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
| 182 |
+
```
|
stablelm-3b-4e1t-Q2_K.gguf
ADDED
|
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|
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|
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|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:504c428bf3f0e32bc3521e7335835d5ef9712e1f5694586313eaf2f7e0068a6b
|
| 3 |
+
size 1083756096
|
stablelm-3b-4e1t-Q3_K_L.gguf
ADDED
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d450ed5a25944cf1245460dbb406dde62ecf27a755b889a155f1be9d4b9fe7a0
|
| 3 |
+
size 1508565056
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stablelm-3b-4e1t-Q3_K_M.gguf
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|
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|
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|
|
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